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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1060 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0403. Min Act: -0.0000

Data Index: 1494023 (Python Code)

Max Activating Token Index: 1018

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Text #1

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Data Index: 480177 (C4 (Web Text))

Max Activating Token Index: 154

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Text #2

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Max Act: 0.0366. Min Act: -0.0000

Data Index: 998099 (C4 (Web Text))

Max Activating Token Index: 857

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Text #3

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Data Index: 1543806 (Python Code)

Max Activating Token Index: 72

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Text #4

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Max Act: 0.0355. Min Act: -0.0001

Data Index: 617179 (C4 (Web Text))

Max Activating Token Index: 1006

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Text #5

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Data Index: 80641 (C4 (Web Text))

Max Activating Token Index: 514

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Text #6

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Data Index: 295534 (C4 (Web Text))

Max Activating Token Index: 867

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Text #7

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Data Index: 909938 (C4 (Web Text))

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Text #8

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Data Index: 883766 (C4 (Web Text))

Max Activating Token Index: 275

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Text #9

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Data Index: 6191 (C4 (Web Text))

Max Activating Token Index: 595

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Text #10

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Data Index: 129732 (C4 (Web Text))

Max Activating Token Index: 329

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Text #11

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Data Index: 1355616 (C4 (Web Text))

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Text #12

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Data Index: 1469747 (Python Code)

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Text #13

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Text #14

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Text #15

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Data Index: 656878 (C4 (Web Text))

Max Activating Token Index: 272

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Text #16

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Data Index: 25347 (C4 (Web Text))

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Text #17

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Data Index: 360334 (C4 (Web Text))

Max Activating Token Index: 792

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Text #18

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Data Index: 1084628 (C4 (Web Text))

Max Activating Token Index: 819

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Text #19

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Data Index: 789864 (C4 (Web Text))

Max Activating Token Index: 890

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